在非终止系统的智能初始化中,采用仿真滑块的新方法

P. Brabazon
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引用次数: 1

摘要

已知使用智能初始化可以减少甚至避免初始瞬态,但这并不是一种已经积极研究了一段时间的方法。利用复杂性科学的思想和最近发展的无方程技术,提出了一种确定初始条件的新方法。许多被称为滑梯的短脉冲模拟被用来构造系统的动态函数。重要的是,该函数揭示了动态系统将进化到的点吸引子,并且吸引子处的条件定义了未来仿真运行的初始化条件。通过对排队网络的应用验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using slithers of simulation in a new approach for intelligent initialization of non-terminating systems
Reduction and even avoidance of the initial transient is known to be possible using intelligent initialization but it is not an approach that has been actively researched for some time. Using ideas from complexity science and informed by the recently developed equation-free technique a new method for identifying initializing conditions is developed. Many short bursts of simulation, called slithers, are used to construct the dynamic function of a system. Importantly, the function reveals the point attractor of the dynamic system to which it will evolve and the conditions at the attractor define the initializing conditions for future simulation runs. The method is demonstrated by application to a queuing network.
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